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Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services

Show simple item record Costa, Paulo C. G. Laskey, Kathryn B. Laskey, Kenneth J. 2006-11-21T17:47:37Z 2006-11-21T17:47:37Z 2006-11
dc.identifier.citation Proceedings of the Second Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2006) at the Fifth International Semantic Web Conference (ISWC 2006) en
dc.description.abstract Service Oriented Architecture (SOA) is a key technology to support interoperability among data and processing resources. Semantic interoperability requires mapping between vocabularies of independently developed resources, a task fraught with uncertainty. Probabilistic ontologies enable representation of knowledge in domains characterized by uncertainty. As such, they promise to improve the quality of service descriptions, enable more thorough analysis of service composition opportunities, and provide a theoretically sound methodology for semantic mapping under uncertainty. This paper defines probabilistic ontologies, discusses their application to SOA, and presents a conceptual scheme for using a federation of ontologies (with both common and probabilistic ontologies) as a semantic mapping tool for service oriented information exchange systems with different levels of service descriptions (including legacy and probabilistic enabled descriptions).
dc.format.extent 337381 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Information Extraction & Transport, Inc. (IET) en
dc.relation.ispartofseries C4I-06-03 en
dc.title Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services en
dc.type Article en

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